SkillAI · The Beam

Data Analysis with Python

0/60 concepts·~25 h left

1
Phase 010/5 · ~2 h left

Python Fundamentals

Basic syntax and data types25 min
Control structures: if, for, while25 min
Functions and modules25 min
Data structures: list, tuple, dict, set25 min
File handling: reading and writing files25 min
2
Phase 020/5 · ~2 h left

Data Manipulation with pandas

Introduction to pandas DataFrames25 min
Data cleaning and preprocessing25 min
Data selection and filtering25 min
Aggregation and grouping data25 min
Merging and joining DataFrames25 min
3
Phase 030/5 · ~2 h left

Data Visualization with matplotlib and seaborn

Basic plotting with matplotlib25 min
Creating advanced plots with seaborn25 min
Customizing visualizations25 min
Understanding plot aesthetics25 min
Visualizing distributions and relationships25 min
4
Phase 040/5 · ~2 h left

NumPy for Numerical Computing

Introduction to NumPy arrays25 min
Array operations and broadcasting25 min
Mathematical functions with NumPy25 min
Linear algebra with NumPy25 min
Random number generation and simulations25 min
5
Phase 050/5 · ~2 h left

Data Analysis Techniques

Descriptive statistics and summary functions25 min
Exploratory Data Analysis (EDA) techniques25 min
Hypothesis testing basics25 min
Correlation and causation25 min
Time series analysis fundamentals25 min
6
Phase 060/5 · ~2 h left

SQL for Data Retrieval

Basic SQL queries: SELECT, FROM, WHERE25 min
Joins: INNER, LEFT, RIGHT25 min
Aggregations: GROUP BY, HAVING25 min
Subqueries and nested queries25 min
Database design basics25 min
7
Phase 070/5 · ~2 h left

Data Wrangling with pandas and NumPy

Handling missing data25 min
Data transformation techniques25 min
Pivot tables and reshaping data25 min
Working with categorical data25 min
Advanced indexing and selection25 min
8
Phase 080/5 · ~2 h left

Machine Learning Basics with scikit-learn

Introduction to scikit-learn25 min
Supervised vs. unsupervised learning25 min
Model evaluation metrics25 min
Basic algorithms: regression and classification25 min
Overfitting and underfitting concepts25 min
9
Phase 090/5 · ~2 h left

Advanced Machine Learning Techniques

Feature engineering and selection25 min
Hyperparameter tuning with GridSearchCV25 min
Ensemble methods: Random Forests, Boosting25 min
Model deployment basics25 min
Introduction to neural networks with Keras25 min
10
Phase 100/5 · ~2 h left

Data Ethics and Privacy

Understanding data privacy laws25 min
Ethical considerations in data analysis25 min
Bias in data and algorithms25 min
Responsible data usage25 min
Transparency and accountability in data practices25 min
11
Phase 110/5 · ~2 h left

Big Data Technologies

Introduction to Apache Spark25 min
Data processing with Dask25 min
Working with large datasets in Python25 min
Introduction to NoSQL databases25 min
Data streaming basics with Kafka25 min
12
Phase 120/5 · ~2 h left

Real-World Projects and Case Studies

Building a data analysis portfolio25 min
End-to-end project: from data collection to visualization25 min
Collaborating on open-source data projects25 min
Presenting findings and storytelling with data25 min
Networking and community engagement in data science25 min